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001 9910299732203321
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010   $a3-7091-1785-2
024 7 $a10.1007/978-3-7091-1785-9
035   $a(CKB)2670000000548011
035   $a(EBL)1698011
035   $a(OCoLC)881165994
035   $a(SSID)ssj0001186850
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035   $a(PQKBTitleCode)TC0001186850
035   $a(PQKBWorkID)11241645
035   $a(PQKB)11537170
035   $a(MiAaPQ)EBC1698011
035   $a(DE-He213)978-3-7091-1785-9
035   $a(PPN)177825510
035   $a(EXLCZ)992670000000548011
100   $a20140318d2014      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aCollective dynamics from bacteria to crowds $ean excursion through modeling, analysis and simulation /$fedited by Adrian Muntean, Federico Toschi
205   $a1st ed. 2014.
210  1$aVienna :$cSpringer Vienna :$cImprint: Springer,$d2014.
215   $a1 online resource (182 p.)
225 1 $aCISM International Centre for Mechanical Sciences, Courses and Lectures,$x0254-1971 ;$v553
300   $aDescription based upon print version of record.
311 08$a3-7091-1784-4 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aThe derivation of swarming models: mean-field limit and Wasserstein distances -- Non-smooth evolution models in crowd dynamics: mathematical and numerical issues -- Pedestrians moving in the dark: balancing measures and playing games on lattices -- Stochastic competition between two populations in space -- Discrete and continuum dynamics of reacting and interacting individuals -- Multiscale crowd dynamics: modeling and theory.
330   $aMultiscale models in social applications combine mean-field and kinetic equations with either microscopic or macroscopic level descriptions. In this book the reader will find not only a wide spectrum of multiscale analysis results (like convergence proofs), but also practically important information such as derivations of mean-field equations, methods to handle hard contacts numerically, to model group behavior, to quantitative estimate microscopic/macroscopic segregation of competing species, to quantitative understand the limits of validity of mass-action kinetics for simple reactions.
410  0$aCISM International Centre for Mechanical Sciences, Courses and Lectures,$x0254-1971 ;$v553
606   $aStatistical physics
606   $aDynamics
606   $aComputational complexity
606   $aBiomathematics
606   $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000
606   $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022
606   $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000
606   $aStatistical Physics and Dynamical Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P19090
615  0$aStatistical physics.
615  0$aDynamics.
615  0$aComputational complexity.
615  0$aBiomathematics.
615 14$aComplex Systems.
615 24$aComplexity.
615 24$aMathematical and Computational Biology.
615 24$aStatistical Physics and Dynamical Systems.
676   $a531
702   $aMuntean$b Adrian$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aToschi$b Federico$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299732203321
996   $aCollective Dynamics from Bacteria to Crowds$92199693
997   $aUNINA